Haider Masood

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AI Engineer I sculpt intelligent realities through data, models, and my expertise.

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About Me.

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I am Passionate about creating Intelligent solutions for Computer Vision and NLP applications, I have 3 years of experience in web development and a portfolio of numerous completed projects. In addition to my coding skills, I find balance and fulfillment through my passions for travelling and photography.

Experience :
  • Entropic: AI Team Lead.
    (April 2024 – Present)
  • Loopteck: Led the development of malaria detection platform using images of thin blood smear.
    (June 2023 – April 2024)
  • Tap-smart: Worked with their technical team to develop and integrate custom QR Code Generator for their smart cards.
    (December 2023 – February 2024)
  • HealthHub: Worked on segmentation of tumours in different modalities. Developed APIs for internal/external use.
    (June 2022 – January 2023)
Education :
  • Master of Science (Artificial Intelligence)
    National University of Science and Technology
    (October 2022 – Present)
  • Bachelor of Computer Engineering
    National University of Science and Technology
    (October 2018 – June 2022)
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Skills.

Frontend Development

  • HTML5, CSS3, JavaScript (ES6+)
  • React, Vue.js
  • Responsive Design
  • Bootstrap, Tailwind CSS

Backend Development

  • Python (Django, Flask)
  • Node.js (Express)
  • RESTful APIs
  • Database Management (SQL, NoSQL)

AI & Machine Learning

  • PyTorch, TensorFlow, Scikit-learn
  • Computer Vision (OpenCV)
  • Natural Language Processing (NLTK, spaCy)
  • Data Preprocessing & Analysis

Tools & Other

  • Git & GitHub
  • Docker
  • JIRA, Agile Methodologies
  • Communication & Teamwork

Projects.

Projects 1
Diagnostics Kit

M-BOT

Worked with Health Services Academy (HSA, Islamabad) to collect an initial sample dataset, then designed the full data-cleaning and pre-processing pipelines. Led the end-to-end deployment of a highly accurate, AI-powered malaria-detection model on AWS, ensuring optimal performance and scalability. Solution processes up to 30 000 patients /day at an average cost of < USD 0.08 ≈ PKR 20 per patient. Built a custom AI module that auto-focuses the device camera on stained blood-smear slides for razor-sharp imaging.

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Projects 2
App

QR Code Generator

Developed a custom QR Code generator for tap-smart for one of their products. Worked with their main development team to make the product robust and implemented relevant preprocessing steps to ensure smooth generation of QR Codes using the feedback from our initial trials of the module.

Demo Code
Projects 2
Website

OsteoDoc

Co-developed OsteoDoc, an end-to-end pipeline for automatic knee-osteoarthritis grading; our peer-reviewed paper (IEEE Xplore, 2024) reports a 0.91 AUC and +12 % accuracy over radiologist baseline. Drove data curation, model training, and Grad-CAM explainability, and the project clinched top honors at FICS and COMPPEC also it was presented at ICODT2 and got the best paper of the session award.

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